bert-base-cased-finetuned-Astronomy_Thesaurus – AI Model by dfoc99 | AlphaNeural AI

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dfoc99/
bert-base-cased-finetuned-Astronomy_Thesaurus

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google-bert/bert-base-cased

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bert-base-cased-finetuned-Astronomy_Thesaurus

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4679

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
8.284	1.0	879	4.3823
4.4381	2.0	1758	3.9386
4.1111	3.0	2637	3.7912
3.986	4.0	3516	3.6484
3.9316	5.0	4395	3.5765
3.8624	6.0	5274	3.5439
3.8162	7.0	6153	3.5072
3.7915	8.0	7032	3.5043
3.7814	9.0	7911	3.5015
3.7804	10.0	8790	3.4679

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1